| User | bluepill |
| Upload Date | February 28 2026 07:24 AM |
| Views | 15 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 5900X 12-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING X570-PRO (WI-FI) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3400
632.3 IPS |
|
|
Image Classification (HP)
|
100% |
3351
623.2 IPS |
|
|
Image Classification (Q)
|
100% |
5287
983.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
4170
67.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4199
68.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
7594
123.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9015
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
9052
10.6 IPS |
|
|
Pose Estimation (Q)
|
94% |
19672
23.1 IPS |
|
|
Object Detection (SP)
|
100% |
3649
289.4 IPS |
|
|
Object Detection (HP)
|
100% |
3656
290.0 IPS |
|
|
Object Detection (Q)
|
87% |
6214
498.4 IPS |
|
|
Face Detection (SP)
|
100% |
6680
79.4 IPS |
|
|
Face Detection (HP)
|
100% |
6685
79.4 IPS |
|
|
Face Detection (Q)
|
97% |
17229
205.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
9121
70.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
9383
72.3 IPS |
|
|
Depth Estimation (Q)
|
81% |
17341
136.7 IPS |
|
|
Style Transfer (SP)
|
100% |
25743
33.1 IPS |
|
|
Style Transfer (HP)
|
100% |
25704
33.0 IPS |
|
|
Style Transfer (Q)
|
98% |
54905
70.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5369
198.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5407
199.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
10248
379.6 IPS |
|
|
Text Classification (SP)
|
100% |
2396
3.20 KIPS |
|
|
Text Classification (HP)
|
100% |
2447
3.27 KIPS |
|
|
Text Classification (Q)
|
91% |
419
563.6 IPS |
|
|
Machine Translation (SP)
|
100% |
3016
52.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2943
50.7 IPS |
|
|
Machine Translation (Q)
|
100% |
2782
47.9 IPS |